• Develop and communicate a clear product vision and strategy that aligns with the organization's business objectives and customer needs • Elicit, document, and prioritize product requirements by collaborating with stakeholders, customers, and development teams • Translate business needs into actionable user stories with clear acceptance criteria • Maintain, prioritize, and routinely refine the product backlog to reflect the most valuable and feasible features and enhancements • Partner with cross-functional teams to ensure shared understanding of product goals and requirements • Plan and coordinate product releases by defining scope, objectives, and timelines • Monitor development progress, track key performance indicators, and report product status to stakeholders • Collaborate with QA teams to define test cases and acceptance criteria to ensure a high-quality, defect-free product • Advocate for a user-centric approach to product design and usability; collaborate with UX/UI to create intuitive user interfaces • Identify opportunities for process improvements and actively participate in retrospectives to address challenges and implement changes.

• Foster a deep understanding of our core markets and customer needs through research, data analysis, and engagement with sales, marketing, customer success and direct customer interactions. • Lead deep dives into user needs and product analytics to collaborate on and define Affinity's CRM product roadmap. • Develop product strategy for your ownership area, including business cases, high level use cases, technical requirements, and potential revenue and ROI. • Champion your positions as a strategic leader. • Drive research and definition to translate product strategy into detailed requirements for prototyping and development. • Partner closely with design and engineering to lead discovery, definition, design and delivery plans, maintain the backlog and drive the roadmap. • Collaborate closely with engineering, design, marketing, customer success and sales teams on the development, QA and release of new features. • Analyze customer feedback and new product ideas. • Identify and define opportunities where AI can meaningfully improve core CRM workflows, from automation intelligence to AI-assisted data management, and collaborate with Affinity's dedicated AI teams to bring those ideas to life. • Contribute to a product team culture of craft and continuous growth, including an enthusiasm for how AI is changing the way great PMs think, work, and build.

• Lead product management for StatLab’s labeling and tracking solutions • Develop and execute commercialization strategies for global direct and indirect sales channels • Build 3–5 year product roadmaps and manage the full product lifecycle, including launches, enhancements, and end-of-life planning • Conduct market research and translate customer needs into product specifications for future product development • Develop pricing, margin, and forecasting strategies to meet global market demand • Create validation plans and assess customer satisfaction and product usability prior to launch • Partner with Product Management, Sales, Marketing, Operations, Service, and Support teams to drive successful product adoption • Develop training materials and support sales team and customer education efforts • Lead weekly cross-functional launch meetings and track progress against commercialization plans • Establish and monitor key performance indicators to measure launch effectiveness • Collaborate with internal OEM and distribution teams to support launches into strategic distributor accounts • Work closely with stakeholders across McKinney, Germany, Italy, the UK, and other international sites to bring commercial plans to completion

• Define and own the Data & AI product strategy and roadmap for the S&M + GM pod by deeply partnering with business leaders to proactively identify high-impact opportunities, shape problem definitions, and drive aligned priorities. • Translate ambiguous business problems into clear product direction and measurable outcomes. • Be hands-on with data: query datasets, review schemas, and validate assumptions through analysis. • Lead end-to-end product discovery with interviews, workflow mapping, data assessments, ROI modeling, etc. • Define clear product requirements (PRDs, user stories, acceptance criteria) and success metrics. • Design and run experiments to validate product performance and measure causal impact. • Partner with data and AI/ML engineering resources to deliver scalable products and capabilities. • Guide development of robust data pipelines and unified data models. • Own the end-to-end ML lifecycle: feature definition, evaluation, deployment, monitoring, drift detection, and retraining. • Ensure training–serving consistency, model versioning, and clear deployment decision gates. • Define and implement AI product patterns, including agentic workflows and RAG. • Champion data quality, lineage, and reliability through data contracts and observability standards. • Partner with governance teams (Security, Legal, Compliance, AI Governance) to operationalize AI responsibly. • Launch products with supporting enablement activities to ensure solutions are embedded in workflows with confidence.